Project abstract for group marshall

Reduced-Complexity Air Quality Model Development and Application

Outdoor air pollution kills approximately three million people per year. Air quality models are commonly used to understand and manage air quality. Chemical transport models (CTMs) are the most accurate of these models but are too computationally intensive for many applications. Reduced complexity models can be used to augment CTM simulations. These researchers have developed a reduced complexity air pollution modeling framework (InMAP, the Intervention Model for Air Pollution) and have created implementations of the model for the continental US for the years 2005 and 2030. They are using MSI resources to create additional implementations of the model: one that is specific to China, one that is specific to India, and a worldwide version.

Research Spotlights about this work appeared on the MSI website in September 2014 and February 2015.

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